IDEAS home Printed from https://ideas.repec.org/a/gam/jsusta/v15y2023i9p7464-d1137965.html
   My bibliography  Save this article

Slope Failure Risk Assessment Considering Both the Randomness of Groundwater Level and Soil Shear Strength Parameters

Author

Listed:
  • Pu Peng

    (Faculty of Civil Engineering and Mechanics, Kunming University of Science and Technology, Kunming 650500, China)

  • Ze Li

    (Faculty of Civil Engineering and Mechanics, Kunming University of Science and Technology, Kunming 650500, China)

  • Xiaoyan Zhang

    (Faculty of Civil Engineering and Mechanics, Kunming University of Science and Technology, Kunming 650500, China)

  • Wenlian Liu

    (Kunming Prospecting Design Institute, China Nonferrous Metals Industry Co., Ltd., Kunming 650051, China)

  • Sugang Sui

    (Kunming Prospecting Design Institute, China Nonferrous Metals Industry Co., Ltd., Kunming 650051, China)

  • Hanhua Xu

    (Yunnan Key Laboratory of Geotechnical Engineering and Geohazards, Kunming 650051, China)

Abstract

Conducting research on slope failure risk assessment is beneficial for the sustainable development of slopes. There will be various failure modes considering both the randomness of the groundwater level and soil shear strength parameters. Based on the integrated failure probability ( IFP ), the traditional failure risk analysis needs to count all failure modes, including the failure probability ( P f ) and failure risk coefficient ( C ), one-by-one. A new slope failure risk assessment method that uses the sum of the element failure risk to calculate the overall failure risk is proposed in this paper and considers both the randomness of the groundwater level and soil shear strength parameters. The element failure probability is determined by their location information and failure situation; the element failure risk coefficient is determined by their area. It transforms the complex overall failure risk problem into a simple element failure risk problem, which simplifies the calculation process and improves the calculation efficiency greatly. The correctness is verified with the systematic analysis of a classical case. The results show that the slope failure probability and failure risk are greatly increased from 1.40% to 3.30% and 0.829 m 2 to 2.094 m 2 with rising groundwater level, respectively.

Suggested Citation

  • Pu Peng & Ze Li & Xiaoyan Zhang & Wenlian Liu & Sugang Sui & Hanhua Xu, 2023. "Slope Failure Risk Assessment Considering Both the Randomness of Groundwater Level and Soil Shear Strength Parameters," Sustainability, MDPI, vol. 15(9), pages 1-25, May.
    • Handle: RePEc:gam:jsusta:v:15:y:2023:i:9:p:7464-:d:1137965
    as

    Download full text from publisher

    File URL: https://www.mdpi.com/2071-1050/15/9/7464/pdf
    Download Restriction: no
    File URL: https://www.mdpi.com/2071-1050/15/9/7464/
    Download Restriction: no
    ---><---

    Citations

    Citations are extracted by the CitEc Project, subscribe to its RSS feed for this item.
    as


    Cited by:

    1. Ruixia He & Ziwen Zhou & Sai Vanapalli & Xuyang Wu, 2024. "Determination of the Shear Strength of Unsaturated Loess Samples from Conventional Triaxial Shear Tests Applying Rubber Membrane Correction," Sustainability, MDPI, vol. 16(5), pages 1-15, March.

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:gam:jsusta:v:15:y:2023:i:9:p:7464-:d:1137965. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    We have no bibliographic references for this item. You can help adding them by using this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: MDPI Indexing Manager (email available below). General contact details of provider: https://www.mdpi.com .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.